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GRASS GIS 7.8.0 released

GRASS GIS 7.8.0 released


**GRASS GIS 7.8.0 released with Python 3 support

GRASS GIS with Python 3 support

What’s new in a nutshell

After almost 2 years of development the new stable release GRASS GIS 7.8.0 is available. Efforts have concentrated on implementing Python 3 support. During the development phase the project was migrated from SVN to GitHub.

All this to make the user experience even better, by providing many new useful additional functionalities to numerous modules and further improving the graphical user interface. Furthermore, ZSTD has been added a new raster compression method which is an improvement over ZLIB’s deflate method, providing both faster and higher compression than ZLIB. Also a new raster map type has been added: GRASS virtual raster (VRT) which is a virtual mosaic of the list of input raster maps. In addition, support for PROJ v. 5 has been implemented. An overview of the new features in the 7.8 release series is available at new features in GRASS GIS 7.8.

Binaries/Installer download:

Source code download:

More details:

See also our detailed announcement:

About GRASS GIS

The Geographic Resources Analysis Support System (https://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).

The GRASS Development Team, September 2019